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Java, Shell Scripting
References
[1] http://wso2.com/landing/app-factory/
[2] https://docs.wso2.com/display/AF200/WSO2+App+Factory+Documentation
Possible Mentor/s
Anuruddha Premalal ( anuruddha AT wso2 DOT com)
Dimuthu Leelarathne (dimuthul AT wso2 DOT com)
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The Private PaaS is an open source Platform as a Service (PaaS) solution implemented on Apache Stratos. It is a multi-tenant, self-service, metered, middleware cloud for complex, enterprise-ready projects. It can be run on Google Compute Engine (GCE), Amazon EC2, OpenStack, CloudStack and Google Kubernetes. Currently WSO2 Private PaaS has a RDBMS which contains cloud service usage information, however it does not have a billing system. In this project it is required to implement a web based billing system which could integrate Google Checkout for generating invoices and making payments for cloud service usage.
As the first step of this project a literature review needs to be done analyzing existing billing models of PaaS solutions and design a billing model. This should be configurable via the Web application according to custom billing requirements. Once the billing model is in place the web application needs to be implemented to generate a detailed invoice based on the Infrastructure as a Service (IaaS) resource usage and PaaS service usage. This also needs to consider the profit margin of the PaaS provider. Finally an aggregated invoice needs to be generated for the cloud user. PaaS administrator should be able to login to the billing system and view detailed billing information of each PaaS user.
Deliverables
- A web application that can integrate Google Wallet for generating Invoices for cloud usage.
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[3] https://www.google.com/wallet/
Proposal 11: Recommendation Solution for WSO2 Machine Learner
Description
WSO2 Machine Learner is a Machine Learning Server. Recommendations systems takes item sales and item views as input and recommend items for users based on their interest. (see 1). Goal of this project is to add a recommendation system to WSO2 Machine Learner so that a Retail web site can easily add recommendations support using WSO2 Machine Learner.
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When this is done, a retail web site can add the java script code into the site in the same manner as Google analytics scripts and receive recommendations based on the sales and item views.
Deliverables
- A web application that can integrate Google Wallet for generating Invoices for cloud usageREST API to report user interactions with the Retail Web Store.
- REST API to get recommendations for a given user.
- Java script based API client to be used in the Website.
- Integrate Spark's recommendation algorithms into ML.
Skills Needed
- Java
- JAX-RS (can be learned)
- Java Script and HTML
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Java, Basic Knowledge in Selenium
References
[1] http://wso2.com/landing/app-factory/
[2] https://docs.wso2.com/display/AF200/WSO2+App+Factory+Documentation
Possible Mentor/s
Anuruddha Premalal ( anuruddha AT wso2 DOT com)
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